Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

The importance of kidney biopsy, a medical procedure in which a small tissue sample is
extracted from the kidney for examination, is increasing due to the rising incidence of kidney …

Advancements in medical imaging and endovascular grafting have facilitated minimally
invasive treatments for aortic diseases. Accurate 3D segmentation of the aorta and its …

Penggunaan deep learning dapat diaplikasikan di berbagai bidang seperti pendidikan,
bisnis, pertanian, pertambangan, internet of things (IoT), keamanan cyber, perkiraan cuaca …

Deep learning is widely applied in bioinformatics and biomedical imaging, due to its ability
to perform various clinical tasks automatically and accurately. In particular, the application of …

Atherosclerosis, a chronic inflammatory disease affecting the large arteries, presents a
global health risk. Accurate analysis of diagnostic images, like computed tomographic …

Recognizing skin cancer in time could greatly increase patients' chances of recovery. For
this reason, in recent years, numerous decision support systems have been proposed to …

Aortic dissection is a cardiovascular disease-causing mortality. It is vital to detect after
emergently for earlier interventions and healing prognosis of aortic dissection. Computer …

Over the last decade, thanks to advances in sensor technology, imaging, and data analytics,
the use of AI–based medical devices has seen an exponential increase, with massive …

Abstract Segmentation of the Aortic Vessel Tree (AVT) in the Computed Tomography
Angiography (CTA) images is pivotal for the diagnosis and monitoring of the aortic diseases …